Cyber-security presence monitoring and assessment

ABSTRACT

Methods, computer-readable media, software, and apparatuses may monitor consumer information in order to determine a probability of a data breach associated with a customer based on an online presence of the customer. The probability of a data breach may be used to present metrics to a consumer and/or a service provider. Further, the consumer may be presented with information indicating what factors contribute to the probability of a data breach, as well as information regarding how to reduce those factors.

FIELD OF ART

Aspects of the disclosure generally relate to methods and computersystems, including one or more computers particularly configured and/orexecuting computer software. More specifically, aspects of thisdisclosure relate to systems for capturing, evaluating, andcommunicating cyber-security data.

BACKGROUND

People and organizations may collect and/or analyze information, such aspersonal or confidential information of a user. Further, services, suchas credit monitoring services or identity protection services, maymonitor a user's account in order to determine if a data breach hasoccurred. As consumers continue to gain an ever-increasing presence inonline environments, there will be an ever-present need to betterprotect consumers from confidential information being breached (e.g.,made available publicly) in order to protect consumers from fraud and/orother harms.

BRIEF SUMMARY

In light of the foregoing background, the following presents asimplified summary of the present disclosure in order to provide a basicunderstanding of some aspects of the invention. This summary is not anextensive overview of the invention. It is not intended to identify keyor critical elements of the invention or to delineate the scope of theinvention. The following summary merely presents some concepts of theinvention in a simplified form as a prelude to the more detaileddescription provided below.

Aspects of the disclosure address one or more of the issues mentionedabove by disclosing methods, computer readable storage media, software,systems, and apparatuses for providing information relating to a risk ofa data breach associated with a consumer. This may promote awarenessregarding the risk of a data breach involving the consumer.

Aspects of this disclosure provide a cyber-security data processingsystem that may identify a consumer, monitor for the presence ofconfidential information associated with the consumer, and/or establisha value associated with the cyber-security risks associated with theconsumer. The cyber-security data processing system may collectinformation from various networks, devices, and/or services. Thecyber-security data processing system may then calculate a value basedon a probability that the consumer may experience a data breach. In someinstances, the information and/or value may be presented on amarketplace for consumption by service providers.

Of course, the methods and systems of the above-referenced embodimentsmay also include other additional elements, steps, computer-executableinstructions, or computer-readable data structures. In this regard,other embodiments are disclosed and claimed herein as well. The detailsof these and other embodiments of the present invention are set forth inthe accompanying drawings and the description below. Other features andadvantages of the invention will be apparent from the description,drawings, and claims.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is illustrated by way of example and is notlimited by the accompanying figures in which like reference numeralsindicate similar elements and in which:

FIG. 1 illustrates an example security monitoring device or environmentthat may be used in accordance with one or more aspects describedherein.

FIG. 2 illustrates an example system architecture for gathering andanalyzing cyber-security data in accordance with one or more aspectsdescribed herein.

FIG. 3 illustrates an example system for collecting information fromvarious information data sources to determine an online presence for aconsumer in accordance with one or more aspects described herein.

FIG. 4 illustrates an example user interface displaying an examplerating screen in accordance with one or more aspects described herein.

FIG. 5 illustrates an example training quiz in accordance with one ormore aspects described herein.

FIG. 6 illustrates an example breakdown screen for a component inaccordance with one or more aspects described herein.

FIG. 7 illustrates an example method for determining a value associatedwith a potential for data breach of a consumer's data in accordance withone or more aspects described herein.

DETAILED DESCRIPTION

In accordance with various aspects of the disclosure, methods,computer-readable media, software, and apparatuses are disclosed forprotecting consumers against data breaches. A consumer may be presentedwith a wide range of consumer risks, including cyber-extortion (e.g.,ransomware), false/fraudulent account creation, credit card theft,credit score reduction, banking theft, and tax fraud. By monitoring andnotifying a user of the potential for (or the occurrence of) databreaches, a system can diagnose vectors for data breaches, preventfuture breaches, and/or provide recovery options if a breach occurs.

In the following description of the various embodiments of thedisclosure, reference is made to the accompanying drawings, which form apart hereof, and in which is shown by way of illustration, variousembodiments in which the disclosure may be practiced. It is to beunderstood that other embodiments may be utilized, and structural andfunctional modifications may be made.

In one or more arrangements, aspects of the present disclosure may beimplemented with a computing device. FIG. 1 illustrates a block diagramof an example security monitoring device 100 that may be used inaccordance with aspects described herein. The security monitoring device100 may be a computing device, such as a personal computer (e.g., adesktop computer), server, laptop computer, notebook, tablet,smartphone, vehicles, home management devices, home security devices,smart applicances, etc. The security monitoring device 100 may have adata collection module 101 for retrieving and/or analyzing data asdescribed herein. The data collection module 101 may be implemented withone or more processors and one or more storage units (e.g., databases,RAM, ROM, and other computer-readable media), one or more applicationspecific integrated circuits (ASICs), and/or other hardware components(e.g., resistors, capacitors, power sources, switches, multiplexers,transistors, inverters, etc.). Throughout this disclosure, the datacollection module 101 may refer to the software and/or hardware used toimplement the data collection module 101. In cases where the datacollection module 101 includes one or more processors, such processorsmay be specially configured to perform the processes disclosed herein.Additionally, or alternatively, the data collection module 101 mayinclude one or more processors configured to execute computer-executableinstructions, which may be stored on a storage medium, to perform theprocesses disclosed herein. In some examples, the security monitoringdevice 100 may include one or more processors 103 in addition to, orinstead of, the data collection module 101. The processor(s) 103 may beconfigured to operate in conjunction with data collection module 101.Both the data collection module 101 and the processor(s) 103 may becapable of controlling operations of the security monitoring device 100and its associated components, including RAM 105, ROM 107, aninput/output (I/O) module 109, a network interface 111, and memory 113.For example, the data collection module 101 and processor(s) 103 mayeach be configured to read/write computer-executable instructions andother values from/to the RAM 105, ROM 107, and memory 113.

The I/O module 109 may be configured to be connected to an input device115, such as a microphone, keypad, keyboard, touchscreen, and/or stylusthrough which a user of the security monitoring device 100 may provideinput data. The I/O module 109 may also be configured to be connected toa display device 117, such as a monitor, television, touchscreen, etc.,and may include a graphics card. The display device 117 and input device115 are shown as separate elements from the security monitoring device100; however, they may be within the same structure. On some securitymonitoring devices 100, the input device 115 may be operated by users tointeract with the data collection module 101, including providing userinformation and/or preferences, device information, account information,warning/suggestion messages, etc., as described in further detail below.System administrators may use the input device 115 to make updates tothe data collection module 101, such as software updates. Meanwhile, thedisplay device 117 may assist the system administrators and users toconfirm/appreciate their inputs.

The memory 113 may be any computer-readable medium for storingcomputer-executable instructions (e.g., software). The instructionsstored within memory 113 may enable the security monitoring device 100to perform various functions. For example, memory 113 may store softwareused by the security monitoring device 100, such as an operating system119 and application programs 121, and may include an associated database123.

The network interface 111 allows the security monitoring device 100 toconnect to and communicate with a network 130. The network 130 may beany type of network, including a local area network (LAN) and/or a widearea network (WAN), such as the Internet, a cellular network, orsatellite network. Through the network 130, the security monitoringdevice 100 may communicate with one or more other computing devices 140,such as laptops, notebooks, smartphones, tablets, personal computers,servers, vehicles, home management devices, home security devices, smartappliances, etc. The computing devices 140 may also be configured in asimilar manner as security monitoring device 100. In some embodimentsthe security monitoring device 100 may be connected to the computingdevices 140 to form a “cloud” computing environment.

The network interface 111 may connect to the network 130 viacommunication lines, such as coaxial cable, fiber optic cable, etc., orwirelessly using a cellular backhaul or a wireless standard, such asIEEE 802.11, IEEE 802.15, IEEE 802.16, etc. In some embodiments, thenetwork interface may include a modem. Further, the network interface111 may use various protocols, including TCP/IP, Ethernet, File TransferProtocol (FTP), Hypertext Transfer Protocol (HTTP), etc., to communicatewith other computing devices 140.

The methods and software for capturing and communicating vehicletelematics data as disclosed herein may be implemented on one or moresecurity monitoring devices 100 used in various network environments.

FIG. 2 illustrates a block diagram illustrating system architecture 200for gathering and analyzing cyber-security data. The cyber-security dataprocessing system (CSDPS) 202, which may also be referred to as theprocessing system 202 and/or the central processing system 202, maycollect information from and transmit information to a consumer throughvarious different channels such as a user mobile computing device 210, auser computing device 208, a password manager 206, banking application218, and a web application 224. In some instances, the cyber-securitydata processing system 202 may be a data collection module 101 or asecurity monitoring device 100. The cyber-security data processingsystem 202 may receive user data for its consumers through channels suchas customer database 204, internet connected device 212, accountinformation system 226, and cyber-traffic event analysis system 222. Thecyber-security data processing system 202 may communicate with one ormore network-based accounts to detect information associated with aconsumer account being communicated through a network.

In some embodiments, the cyber-security data processing system 202 maycollect information from and transmit information to each of the variousapplications, databases, devices, and backend servers described in FIG.2. The cyber-security data processing system 202 may collect informationabout consumers such as their real-time activity and interactions,predict the likelihood of a data breach, and determine strategiesutilizing the various channels of communication with the consumer so asto determine how to best engage the consumer and protect the consumerfrom future threats. For example, the cyber-security data processingsystem 202 may collect information about a local network associated witha consumer based on receiving a network scan from the securitymonitoring software 220. The cyber-security data processing system 202may analyze historic account information received from the accountinformation system 226 to determine the likelihood of a data breachbased on risk factors known for consumers with similar habits and/orcharacteristics. The cyber-security data processing system 202 maydetermine that the user may be engaging in particularly risky behavior,and may determine when to contact the consumer and through which channelto contact the consumer to inform the consumer of the potential for adata breach. The cyber-security data processing system 202 may enable aplurality of different permutations of strategies such as the aboveexample by being able to sense real-time consumer actions andconsumer-related data flow through various different channels. Byanalyzing data relevant to that consumer, the cyber-security dataprocessing system 202 may inform various channels that it iscommunicatively coupled to regarding consumer-associated risks.

In some embodiments, the cyber-security data processing system 202 maycommunicate with a user (e.g., a consumer) and gather user data throughbanking application 218. The cyber-security data processing system 202may collect user data from interactions of the user with the userinterface of the banking mobile application 218. The banking application218 may allow the user to manage account preferences, manage financialaccounts, view recent transactions, and/or review suspicious behavior.The cyber-security data processing system 202 may track interactionswith banking applications and/or receive notifications from theapplications. For example, a notification regarding a recent suspiciousbanking transaction may be sent from a banking server to the bankingapplication 218 and (either from the banking server or via the bankingapplication 218) forwarded to the cyber-security data processing system202. This may cause the cyber-security data processing system 202 toinform the consumer of the suspicious activity.

In some embodiments, a password manager 206 may assist thecyber-security data processing system 202 in determining the presence ofconsumer-associated accounts, and/or may assist the cyber-security dataprocessing system 202 in determining the quality of credentials for theconsumer-associated accounts. A risk-factor for a data breach may be aconsumer who uses poor credentials (e.g., usernames, passwords,biometric information, etc.) for online accounts (e.g., weak passwords,using passwords for multiple accounts, a failure to use two-factorauthentication, etc.). The password manager 206 may inform thecyber-security data processing system 202 of known accounts associatedwith the password manager 206, as well as the status of the credentialsassociated with those accounts. In some instances, the cyber-securitydata processing system 202 may compare the accounts known to thepassword manager 206 with other accounts known to the cyber-securitydata processing system 202 to determine what accounts are protectedthrough password management.

In some embodiments, the customer may interact with the cyber-securitydata processing system 202 using the user computing device 208, webapplication 224, and/or user mobile computing device 210. The user maybe able to view their current security status, see updates regardingsecurity issues, seek remediation of those issues, and/or undergofurther training regarding security practices. In some instances, if adata breach occurs, the consumer may be presented with an option to filean insurance claim for the security breach via the cyber-security dataprocessing system 202 and/or through an associated application.

In some embodiments, the cyber traffic event analysis system 222 maymonitor user activity on social media networks, the Internet in general,or the dark web (e.g., network-enabled websites with restrictedaddresses or accessibility such that the sites are not accessible usingstandard means, such as websites with no domain names that are hiddenfrom online search engines). In some instances, the cyber-traffic eventanalysis system 222 may determine how much of a consumer's confidential(e.g., private) information is available electronically. Confidentialinformation may comprise identity information such as name or birthday,marital status, family members, education, employment histories, onlineidentities (e.g., user names on a social media account), financialinformation (e.g., banking numbers, credit card numbers, etc.),traceable assets (real estate, vehicles, etc.), court records, or othersuch information. By searching for electronically available information,the system may determine a “digital footprint” (e.g., a trail of dataand information, available electronically and associated with theconsumer). For example, the cyber-traffic event analysis system 222 maydetermine that a consumer's home address is available on 3 social mediasites, 5 public web pages, and 2 dark web pages. The cyber-traffic eventanalysis system 222 may also search for instances where confidentialinformation has become available. For example, the cyber-traffic eventanalysis system may further determine that one of the dark web pages hasa credit card ending in “XXXX” associated with the consumer's address.The cyber-traffic event analysis system 222 may inform thecyber-security data processing system 202 of its findings, and thecyber-security data processing system 202 may act on those findings. Forexample, the cyber-security data processing system 202 may determinethat the credit card number corresponds to the consumer, and push analert to an application on the user's mobile computing device 210notifying the user that their credit card number may have been breached.

In some embodiments, in addition to collecting user information frommobile applications and web applications, user information for consumersmay be collected from various other channels such as user computingdevice 208, user mobile computing device 210, and interne connecteddevice 212. The cyber-security data processing system 202 may determinedevices associated with the consumer. The cyber-security data processingsystem may determine characteristics of those devices, such as theiroperating systems, update history, software on the devices, hardwarecharacteristics, and so forth. The cyber-security data processing system202 may use this information to determine if the number of devicesand/or characteristics of the devices indicate a heightened threat of adata breach.

In some embodiments, the account information system 226 may maintain anddynamically update records of accounts for a consumer. For example, theaccount information system 226 may interface with social networkingaccounts associated with the consumer. If an account is breached (or ifsuspicious activity is detected), the cyber-security data processingsystem 202 may be notified. The cyber-security data processing system202 may then notify the consumer, such as by sending an alert to a usercomputing device 208 and/or user mobile computing device 210.

FIG. 3 illustrates a block diagram 300 of a central processing unit thatcollects information from various information data sources to determinean online presence for a consumer (e.g., the spread of information or“footprint” left by a consumer in digital spaces). As shown in FIG. 3,the CSDPS 202 may communicate with a plurality of information datasources 304 a, 304 b, . . . 304 n to collect information related to theconsumer to determine next steps to best serve the consumer.

In some embodiments, the cyber-security data processing system 202 mayretrieve information from the plurality of information data sources 304a-304 n in order to determine the digital presence of a consumer. Thedata retrieval engine 310 may be configured to monitor (e.g.,continuously monitor) each of the information data sources 304 a-304 nand report data of interest from any one of these data sources to thecyber-security data processing system 202. For example, the dataretrieval engine 310 may monitor social media sources to determine ifaccount information associated with the consumer is detected. If theinformation is detected, it may be passed on to the cyber-security dataprocessing system 202 for analysis. In another example, the dataretrieval engine 310 may interface with one or more digital accounts(banking accounts, social media accounts, digital storefronts, etc.) todetermine if accounts are created, active, and/or in use. Accountinformation may be passed on to the cyber-security data processingsystem 202.

In some embodiments, the cyber-security data processing system 202 maycalculate risk based on the data gathered from the information datasources 304 a-304 n. For example, the insurance rules processing engine312 may analyze the data retrieved from information data sources 304a-304 n by the data retrieval engine 310 according to preset rulesand/or algorithms in order to determine the likelihood of a data breachbased on the digital presence of the consumer.

In some embodiments, the cyber-security data processing system 202 maydetermine when and through which means to notify an insurance consumerof the risks of a data breach and/or evidence of a data breach accordingto preset rules and strategies calculated from the data gathered fromthe information data sources 304 a-n. For example, the user notificationengine 314 may determine a time to contact the consumer with a messageand/or notification generated by the cyber-security data processingsystem 202 upon analyzing the activities of the consumer and processingsuch activities according to risk matrices maintained by cyber-securitydata processing system 202.

In some embodiments, the cyber-security data processing system 202 maymanage the various activities of each consumer, and the status ofvarious accounts associated with the consumer. For example, theinformation management system 316 may keep track of all of theinformation received from information data sources 304 a-304 n and mayalso manage a schedule of message delivery by communicating with theuser notification engine 314. In another example, the cyber-securitydata processing system 202 may notify the user whenever an account isaccessed at an unexpected time and/or from an unexpected location.

In some embodiments, the cyber-security data processing system 202 maydetermine which channel to use to communicate the decision of a strategycomputed at the cyber-security data processing system 202. For example,the information delivery engine 318 may detect which mobile applicationaccessible to the user is the most appropriate channel on which todeliver the type of information that is scheduled to be delivered to theinsurance consumer and/or other target audience.

FIG. 4 illustrates a user interface 400 displaying an example ratingscreen for a digital safety score 405. In some examples, these userinterfaces may be generated by an application server, web application224, user computing device 208, and/or user mobile computing device 210.It should be understood that the user interface of FIG. 4 is designed toillustrate various features and aspects of the user interfaces and thesystem, and do not limit the visual appearance or layout of the userinterfaces. The mobile computing device 210 may be a smartphone, and theuser interface 400 may be part of a smartphone app. A shortcut may bepresented on a home screen (or desktop screen) of an operating systemexecuting the user interface 400.

A digital safety score 405 may be a rating and/or representation ofdifferent components which contribute to the risk of a data breach of anassociated consumer. The digital safety score 405 may be a numeric valuethat indicates the risk of a data breach. While the description hereinassumes a higher score reflects a lower chance of a data breach, anyalgorithm for determining the value may be used. For example, thedigital safety score 405 may comprise a value from 0 to 200, where analgorithm determines the value such that a higher value indicates alower risk of a data breach. In some instances, a lower number mayindicate lower risk. For example, a value from 0 to 100 may be assigned,wherein the value approximates the chance of a significant data breachwithin the next year.

The components depicted in user interface 400 are merely exemplarycomponents, and any number of components that affect the possibility ofa data breach may be used. The components may be represented with shapesthat correspond to their strength and/or impact. For example, trianglesor wedges may be sized in proportion to their impact versus othercomponents (e.g., larger shapes correspond to a larger impact thansmaller shapes). In another example, shapes may vary in size based onthe risk associated with each item (e.g., a larger shape may indicate anarea with higher associated risk). In some instances, a shaded ring orpie graph may be divided into different proportional sections for eachcomponent that contributes to the risk of a data breach. In someinstances, a combination of the above may be used. For example, thewidth of wedges may indicate the proportion of the score, while theheight may indicate whether the component has a positive or negativeimpact, and a ring around the wedges may indicate the proportion of amaximum score achieved.

A number of exemplary components are depicted in FIG. 4. An onlinepresence component 415 may indicate the online presence of a consumer.For example, a consumer may have 48 different accounts detected across arange of Internet services. The CSDPS 202 may determine that therelatively high number of accounts increases the potential risk of adata breach. Accounts may be judged based on the type of account. Forexample, a large number of banking accounts may greatly increase therisk of a significant data breach, because a breach may result inimportant financial data being compromised. In another example, a largenumber of website accounts comprising only a username and password (suchas accounts on a cookbook website, a news website, a sports website,etc.) may be weighted less than a smaller number of banking accounts,because the impact of a data breach to the consumer may be minimalcompared to the impact of a breach regarding banking information. Insome instances, the usage of usernames and/or passwords may be trackedand used to determine a component of the digital safety score 405. Forexample, a password manager may report that three passwords are usedacross 48 accounts. This may greatly increase the danger of a databreach, as a breach of a password across one account may affect a largenumber of other accounts. In some instances, this may increase theprobability of a data breach, which may be reflected in the rating.

Some components may monitor devices and/or environments associated witha consumer. A network component 440 may indicate the quality ofnetworking security associated with a consumer. The CSDPS 202 mayreceive information indicating the types of devices on a network (e.g.,switches, routers, etc.), the configurations of the devices (e.g.,encryption methods used, wireless vs. wired connections, softwareupdates installed, credentials required for access, etc.), and/or howmany devices are connected. For example, the CSDPS 202 may communicatewith a home network associated with the consumer to determine that theconsumer has a wireless router with a non-default administrativepassword, a WPA2 encrypted SSID that is not broadcast, two connectedwireless devices, and a connected wired device. The CSDPS 202 maydetermine a rating based on the strength of the network and/or thepotential for the network to be breached. An antivirus component 420 mayindicate the health of one or more devices associated with the consumer.An antivirus may decrease the probability of a data breach by protectingsoftware and/or hardware from malicious intrusions. The digital safetyscore 405 may thus be increased for every device with an installedantivirus, and may be lowered if a problem is detected. A devicescomponent 435 may indicate risks associated with the number of and/orquality of devices associated with a consumer. A consumer may be more atrisk for a data breach if more devices with access to consumer accountsexist. For example, the CSDPS 202 may determine that an old, forgottentablet with an outdated operating system is associated with the user.The tablet may present an intrusion point due to unpatchedvulnerabilities. Thus, the tablet may reduce the digital safety score405.

An applications component 430 may also impact the digital safety score405. The CSDPS 202 may receive information from one or more connectedservices. For example, a credit monitoring service may report fraudulentactivity on a credit card, which may decrease the digital safety score.In another example, a consumer identify protection service may provideinformation on whether any breaches have been detected by their service,which may affect the score.

A training component 425 may adjust the digital safety score 405 basedon training conducted by the consumer. A consumer may be able to watchtraining videos, read articles, take quizzes, or listen to audioregarding cyber-security. For example, the user may be able to interactwith the displayed training component to see options for training. Ifthe user engages in training items, the user may be rewarded through anincreased digital safety score. This may help encourage the user to stayinformed regarding best practices for cyber-security.

FIG. 5 depicts an exemplary training quiz 500 in accordance with one ormore aspects described herein. In some instances, the user may firstreceive instructional content (such as watching a video with informationrelated to cyber-security, do's and don'ts, and the like). The user maybe presented with a quiz regarding safety features discussed in thevideo or other instructional content. The user may be rewarded if theyanswer the questions correctly (as this may indicate that the userunderstood the content and/or knows how to practice goodcyber-security).

FIG. 6 depicts an exemplary breakdown screen for a component inaccordance with one or more aspects described herein. In some instances,the user may be able to examine the various components of the digitalsafety score 405. Breakdowns of the various data items that contributeto each component may be available for the consumer to view, along withnotifications and/or suggestions for improvement. For example, theonline presence component 415 may be accessed to present an onlinepresence breakdown screen 600, as depicted in FIG. 6. The onlinepresence breakdown screen 600 may provide the consumer with a listing ofaccounts associated with the consumer or data on the Internet detectedby the cyber-traffic event analysis system 222. In some instances, thislisting may provide a listing of registered accounts according to thename of the account (e.g., name of cable company, bank, etc.). Forexample, the consumer may be able to view a list of known Internetaccounts, and discover that the consumer has numerous online accountswhich the consumer was unware of. In another example, the consumer maydiscover that the home address of the consumer is readily available on aweb-page. In some instances, the listing may identify accountsassociated with credit card use, recurring payments, frequent use, thestorage of personal and/or confidential information, and/or other suchcharacteristics.

In some instances, accounts may be centrally consolidated and/orcancelled. Accounts may be consolidated in the listing, such as byproviding a centralized login for multiple accounts. For example, aservice provider associated with the CSDPS 202 may provide a centralizedlogin screen with a consolidated username and password. A consumer mayselect accounts from the listing of detected accounts with which to usethe centralized login screen. The consumer may also select unwantedaccounts from the listing for cancellation. In some instances, the CSDPS202 may direct the consumer to a web page associated with each accountfor cancelling each account. In other instances, the CSDPS 202 mayprocess the selections by coordinating with one or more services tocancel accounts. This may have the advantage of reducing the digitalfootprint for a consumer by reducing the number of active accounts.

FIG. 7 depicts a method for determining a value associated with apotential for data breach of a consumer's data. The value (e.g., adigital safety score) may present a consumer or marketplace consumerwith a readily identifiable value corresponding to the risk of a databreach involving a consumer.

At step 705, the CSDPS 202 may initiate a scan for consumer accounts.The CSDPS 202 may request login information from the consumer. Accountsmay be determined according to one or more methods. For example, theconsumer may supply the CSDPS with identifying information, such as aname, date of birth, address, social security number, or other suchinformation. The CSDPS may integrate with one or more services (such associal media websites, banking websites, etc.) which may inform theCSDPS 202 whether the identifying information corresponds to an accounton each service. In another example, the consumer may register toreceive a digital safety score. As part of the registration, theconsumer may be presented with a list of accounts, and may be asked togive credentials for the accounts. In yet another example, the consumermay supply the CSDPS 202 with access to an aggregation service, such asa password manager, which may identify known accounts and/or credentialsfor each account. Some accounts, such as accounts with a creditmonitoring service and/or identity protection service, may supply dataindicating risk. In some instances, the CSDPS 202 may find account dataacross numerous services and bring the data from all the servicestogether so that it may bind the data into a value in step 725.

At step 710, the CSDPS 202 may scan for devices associated with theconsumer. The CSDPS 202 may identify devices on a network associatedwith the consumer and/or devices associated with the consumer'scredentials. For example, the CSDPS 202 may initiate a network scanwhich may identify devices along a network and information correspondingto each device (e.g., device type, model numbers, operating systems,software versions, applications installed on the devices, networkcapabilities, etc.).

At step 715, the CSDPS 202 may search for digitally-availableinformation associated with the consumer (e.g., an online presenceassociated with the consumer). The CSDPS 202 may initiate a scan fordigitally-available information, such as by instructing thecyber-traffic event analysis system 222 to scan for consumer information(addresses, credit card numbers, credentials, social security numbers,etc.) that correspond to the consumer. In some instances, thecyber-traffic event analysis system may continually compile consumerdata based on data found on the Internet. For example, the cyber-trafficevent analysis system may monitor dark web pages for credit cardnumbers, addresses, phone numbers, etc. The CSDPS 202 may also collectactivity data associated with the consumer. For example, the CSDPS 202may track how often, on what devices, and/or where a consumer conductsbanking transactions. A consumer may be penalized if the consumerconducts banking on a train, where other individuals may be able to moreeasily view the consumer's confidential banking information.

At step 720, the CSDPS 202 may compare the consumer information withdata known to correspond to the consumer. In some instances, the CSDPS202 may determine if data compiled by the cyber-traffic event analysissystem matches data associated with the consumer. For example, the CSDPS202 may determine if a credit card number previously found on a dark webpage and stored in a database of detected credit card numbers matches acredit card number entered by the consumer.

At step 725, the CSDPS 202 may determine a value associated with theconsumer. The CSDPS 202 may use one or more algorithms to determine avalue based on consumer accounts, consumer devices, online presencedata, or other collected information. The CSDPS 202 may compare thecompiled data against risk matrices to determine the likelihood of adata breach based on the collected data. For example, a user with alarge number of devices and accounts may have a high probability of adata breach and be assigned a low value.

At step 730, the CSDPS 202 may update a marketplace with the value. Riskinformation (e.g., a value and/or the information from which the valueis derived) may be a valuable tool for determining the risk of a databreach associated with a consumer. For example, the value may indicatethat there is a 20% chance that a consumer will fall victim to creditcard fraud within the next six months.

A marketplace may be established for buying and selling riskinformation. For instance, an insurance marketplace may allow insuranceproviders to access risk information from the CSDPS 202. Insuranceproviders and/or underwriters may establish cyber-fraud insurancepolicies based on the risk information. For example, an insuranceprovider may offer an insurance policy to the consumer that protectsagainst fraudulent transactions based on the risk information. If aconsumer incurs financial damage as a result of a data breach (forexample, the consumer is subjected to credit card fraud), the insurancepolicy may compensate the consumer for some or all financial lossesincurred.

Premiums and/or deductibles for insurance policies may be establishedbased on the risk information and/or value associated with a potentialfor data breach of a consumer's data. For example, a consumer with ahigh value may be charged a higher premium than a consumer with a lowvalue.

In some instances, the risk information may be collected and used todetermine behavioral patterns for a class of consumer. Over time, theCSDPS 202 may determine the behavioral patterns based on detectingassociations between different data points known to the CSDPS 202. Forexample, the CSDPS 202 may determine that individuals with more than twocredit card numbers detected on the Internet have a 65% chance of creditcard fraud, while individuals with two or less credit card numbersdetected on the Internet have a 38% chance of credit card fraud. TheCSDPS 202 may continually iterate on this information to determine moreand/or more accurate associations and/or patterns. For example, usingdata collected over time, the CSDPS 202 may determine that individualswith at least 5 active social networking accounts have a 15% greaterchance of suffering from tax fraud than individuals with less than 5active social networking accounts. Thus, the CSDPS 202 may determine anincreased chance of tax fraud when a consumer registers a fifth socialnetworking account (and, in some instances, provide a notification to auser and/or service provider after the fifth social networking accountis registered).

In some instances, the determined, resultant behavioral datarepresenting the behavioral patterns and/or the data used to determinebehavioral patterns may be made available through the marketplace. Adatabase of patterns may be made available detailing the risksassociated with given behaviors (e.g., the risk of a data breach basedon a given digital footprint). An insurer may pay to have access to amarketplace of the data in order to better tailor insurance products fora consumer based on associated risk. For example, the insurer mayincrease premiums for all customers by 7% because the data used todetermine behavioral patterns indicates an overall 7% increase incyber-crime in the past 18 months. In some instances, a governmentalentity, such as law enforcement, may subscribe to the marketplace inorder to determine how best to predict, identify, and/or react tocyber-crime. Data may also be used for advertising purposes. Anadvertiser may use the data to associate online activity withdemographic information for targeted advertising. For example, anadvertiser may determine a demographic of consumers aged 20-28 with atleast 6 social networking accounts in order to conduct a targetedadvertising campaign for a new social network. In another example, apost-card company may determine a list of consumers with no socialnetworking accounts for mailing an advertisement comprising a selectionof post-cards.

In some instances, access to the marketplace may be restricted and/orincur a fee. For example, a fee may be charged to access riskinformation collected by the CSDPS 202. In some instances, the CSDPS 202may collect information from a variety of sources (e.g., creditmonitoring services, identity theft protection services, consumerinformation protection services, etc.), and store the combinedinformation in a database. In some instances, a separate fee may becharged for access to only a subset of the database information.

At step 735, the CSDPS 202 may determine if an action event has beendetected. An action event may comprise a detected change in a consumeraccount and/or detection of a data breach. For example, thecyber-traffic event monitoring system 222 may detect that a credit cardnumber associated with a consumer with a known value has been publishedon a website.

In some instances, an action event may be an action taken by theconsumer. A consumer may register a new account online, open up a newfinancial service account, start using a password manager, connect a newdevice, or undergo cyber-security training. As a result of the action,the CSDPS 202 may wish to adjust the value. For example, by addingadditional accounts online, the consumer may be more susceptible to adata breach and the value may be lowered. In another example, theconsumer may perform cyber-security training, and may be rewarded with ahigher value.

At step 740, The CSDPS 202 may notify the consumer of the action event.To reduce the impact of a data breach, it may be advantageous to notifythe consumer and/or services associated with the data breach. Forexample, the CSDPS 202 may trigger a notification to appear on a usermobile computing device 210 indicating that credentials have been leakedfor an account. In another example, the CSDPS 202 may notify a creditcard company that a credit card number for the consumer was detected onthe dark web. The consumer and/or service provider may then take actionto reduce any potential damage resulting from the data breach.

At step 745, the CSDPS 202 may adjust the value. Information indicatingif a breach is more or less likely to occur may affect a value. In someinstances, an actual data breach may indicate that a breach is morelikely to occur in the future, lowering the value. For example, if adata breach has occurred, the value may be lowered. In another example,a value may be raised when a user deletes old social media accounts thatthe consumer no longer uses. In yet another example, a value may beraised when a user enacts stronger privacy policies on accounts, such associal media accounts. After adjusting the value, the CSDPS 202 mayreturn to step 730 to update the marketplace with the new riskinformation.

Aspects of the invention have been described in terms of illustrativeembodiments thereof. Numerous other embodiments, modifications, andvariations within the scope and spirit of the appended claims will occurto persons of ordinary skill in the art from a review of thisdisclosure. For example, one of ordinary skill in the art willappreciate that the steps illustrated in the illustrative figures may beperformed in other than the recited order, and that one or more stepsillustrated may be optional in accordance with aspects of the invention.

What is claimed is:
 1. A cyber-security system comprising acyber-traffic event analysis system and a cyber-security data processingsystem: wherein the cyber-traffic event analysis system is configuredto: monitor a communications network for confidential informationassociated with a consumer account associated with a consumer; detectevidence of a data breach of the confidential information associatedwith the consumer account as a result of the monitoring; and report theevidence of the data breach to the cyber-security data processingsystem; wherein the cyber-security data processing system is configuredto: receive the evidence of the data breach associated with the consumeraccount; determine a probability of a future impact to the consumerbased on the evidence of the data breach; and adjust a value based onthe probability.
 2. The cyber-security system of claim 1, wherein theevidence of the data breach comprises a credit card number.
 3. Thecyber-security system of claim 1, wherein the evidence of the databreach comprises credentials associated with the consumer account. 4.The cyber-security system of claim 1, wherein the communications networkcomprises the Internet.
 5. The cyber-security system of claim 1, whereinthe cyber-security data processing system is further configured todetermine the value based on an online presence of the consumer.
 6. Thecyber-security system of claim 1, wherein the cyber-security dataprocessing system is further configured to: publish the value on anonline marketplace; receive a request for the value; and transmit thevalue to a service provider in response to the request.
 7. Thecyber-security system of claim 1, wherein the cyber-security dataprocessing system is further configured to: receive an indication thatthe consumer has undergone cyber-security training; adjust the valuebased on the cyber-security training; and transmit the adjusted valuefor presentation to the consumer.
 8. A method comprising: determining,by a security monitoring device, one or more accounts comprisingconfidential information associated with a consumer; scanning, by thesecurity monitoring device, a local network associated with the consumerfor one or more local devices on the local network; monitoring, by thesecurity monitoring device, an external network for a data breachassociated with the confidential information; determining, by thesecurity monitoring device, a value based on the determining the one ormore accounts, the scanning the local network, and the monitoring theexternal network; and transmitting, by the security monitoring device,the value for presentation to the consumer.
 9. The method of claim 8,wherein the monitoring the external network for the data breachcomprises monitoring one or more Internet sites for the confidentialinformation.
 10. The method of claim 8, further comprising: publishingthe value on an online marketplace; receiving a request for the value;and transmitting the value to a service provider in response to therequest.
 11. The method of claim 8, further comprising: detecting, afterthe transmitting the value, a new data breach associated with theconfidential information; adjusting the value based on the detecting;and transmitting the adjusted value for presentation to the consumer.12. The method of claim 8, wherein the determining the value furthercomprises determining the value further based on information receivedfrom a credit monitoring service.
 13. The method of claim 8, furthercomprising: receiving an indication that the consumer has undergonecyber-security training; adjusting the value based on the cyber-securitytraining; and transmitting the adjusted value for presentation to theconsumer.
 14. A cyber-security data processing system comprising acyber-traffic event analysis system and a cyber-security data processingsystem: a processor; a memory unit storing computer-executableinstructions, which when executed by the processor, cause thecyber-security data processing system to: monitor a communicationsnetwork for confidential information associated with a consumer; detectone or more instances of the confidential information on thecommunications network as a result of the monitoring; and receiveadditional information associated with the consumer from a serviceprovider; determine a probability of a future data breach based on theone or more instances and the additional information; and adjust a valuebased on the probability.
 15. The cyber-security data processing systemof claim 14, wherein the cyber-security data processing system furtherstores computing-executable instructions, which when executed by theprocessor, cause the cyber-security data processing system to: publishthe value on an online marketplace; receive a request for the value; andtransmit the value to an insurance provider in response to the request.16. The cyber-security data processing system of claim 14, wherein theservice provider comprises a credit monitoring service.
 17. Thecyber-security data processing system of claim 14, wherein thecyber-security data processing system further storescomputing-executable instructions, which when executed by the processor,cause the cyber-security data processing system to transmit the value toa device associated with the consumer.
 18. The cyber-security dataprocessing system of claim 17, wherein the cyber-security dataprocessing system further stores computing-executable instructions,which when executed by the processor, cause the cyber-security dataprocessing system to: detect, after the transmitting the value, a newinstance of the confidential information; adjust the value based ondetecting the new instance; and transmit the adjusted value forpresentation to the consumer.
 19. The cyber-security data processingsystem of claim 18, wherein the adjusted value is presented to theconsumer as a number displayed via a cyber-security application on amobile computing device.
 20. The cyber-security data processing systemof claim 14, wherein the cyber-security data processing system furtherstores computing-executable instructions, which when executed by theprocessor, cause the cyber-security data processing system to: receivean indication that the consumer has undergone cyber-security training;adjust the value based on the cyber-security training; and transmit theadjusted value for presentation to the consumer.